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xpect: Probabilistic Time Series Forecasting with XGBoost and Conformal Inference

Implements a probabilistic approach to time series forecasting combining XGBoost regression with conformal inference methods. The package provides functionality for generating predictive distributions, evaluating uncertainty, and optimizing hyperparameters using Bayesian, coarse-to-fine, or random search strategies.

Version: 1.0
Depends: R (≥ 2.10)
Imports: normalp (≥ 0.7.2), glogis (≥ 1.0-2), gld (≥ 2.6.6), edfun (≥ 0.2.0), purrr (≥ 1.0.1), ald (≥ 1.3.1), evd (≥ 2.3-6.1), GeneralizedHyperbolic (≥ 0.8-6), cubature (≥ 2.1.0), furrr (≥ 0.3.1), future (≥ 1.33.0), xgboost (≥ 1.7.5.1), rBayesianOptimization (≥ 1.2.0), lubridate (≥ 1.9.2), ggplot2 (≥ 3.5.1), scales (≥ 1.3.0)
Suggests: testthat (≥ 3.0.0)
Published: 2025-03-24
DOI: 10.32614/CRAN.package.xpect
Author: Giancarlo Vercellino [aut, cre, cph]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino at gmail.com>
License: GPL-3
URL: https://rpubs.com/giancarlo_vercellino/xpect
NeedsCompilation: no
Materials: NEWS
CRAN checks: xpect results

Documentation:

Reference manual: xpect.pdf

Downloads:

Package source: xpect_1.0.tar.gz
Windows binaries: r-devel: xpect_1.0.zip, r-release: xpect_1.0.zip, r-oldrel: xpect_1.0.zip
macOS binaries: r-devel (arm64): xpect_1.0.tgz, r-release (arm64): xpect_1.0.tgz, r-oldrel (arm64): xpect_1.0.tgz, r-devel (x86_64): xpect_1.0.tgz, r-release (x86_64): xpect_1.0.tgz, r-oldrel (x86_64): xpect_1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.